Issue |
E3S Web Conf.
Volume 626, 2025
International Conference on Energy, Infrastructure and Environmental Research (EIER 2025)
|
|
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Article Number | 01005 | |
Number of page(s) | 7 | |
Section | GIS and Remote Sensing in Environmental Research | |
DOI | https://doi.org/10.1051/e3sconf/202562601005 | |
Published online | 15 April 2025 |
Multi-Source Fusion Algorithms for Satellite Image Resolution Enhancement in Urban Land Cover Mapping of Ho Chi Minh City, Vietnam
1 Institute of Applied Mechanics and Informatics, Vietnam Academy of Science and Technology
2 Southern Sub-Institute of Forest Inventory and Planning
* Corresponding author: phuonghatran76@yahoo.com; tuancuongdialyk38@gmail.com
This study explores pan-sharpening techniques to enhance the spatial resolution of Landsat 8-9 optical imagery and dual-polarized (VV/VH) SAR data for improved urban land cover classification. Mediumto low-resolution satellite images often pose challenges in accurately delineating specific urban features. Sentinel-1 SAR data provides critical surface parameters such as moisture and conductivity through backscatter analysis, while optical imagery captures spectral reflectance essential for land cover discrimination. By integrating SAR and optical datasets, the fused imagery benefits from both spectral richness and enhanced spatial detail. This research evaluates the performance of Gram-Schmidt (GS) and Principal Component Analysis (PCA) fusion methods in combining Sentinel-1 SAR and Landsat 8-9 imagery for urban land cover mapping in Ho Chi Minh City (2024). The Structural Similarity Index (SSIM) and bias analysis confirm that the fusion process effectively retains spectral integrity while enhancing spatial resolution to 10m, thereby improving the identification of surface features in urban environments.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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